Data Scientist

Proven experience in deploying realtime AI/ML models using Google Cloud Platform.

Strong programming skills in Python and PySpark.
Proficiency with SQL and relational databases data warehouses and BigQuery.
Experience in scaling marketingrelated AI/ML solutions such as cross/upsell recommended systems and category propensity.
Experience in deploying and managing Large scale Machine Learning Models is a plus
Expertise with classical ML algorithm like KNN LSH logistic regression linear regression SVM Random forest and clustering.
Good understanding of ML & DL algorithms and frameworks (ScikitlearnSpacy Tensorflow/Keras/ PyTorch)
Experience in deep learning Algorithms like MLP CNN RNN LSTMs and GANs Transformers and LLMs.
Excellent programming skills in Python
Expertise in Google Cloud and operationalization of models using MLOPs.
Experience in scheduling jobs for automated training and inference of AI/ML models using airflow or any other workflow orchestration platform.
Proficiency in collecting data from different data sources data cleaning preprocessing and feature engineering.
Understanding of regression classification and unsupervised ML algorithms.
Experience in mentoring junior associates in scaling AI/ML models.
Excellent problemsolving and analytical skills.
Strong written and verbal communication skills with the ability to present and explain complex concepts to both technical and nontechnical audiences.